Determining the geographical origin of lettuce with data mining applied to micronutrients and soil properties

Autor(es)

Maione, Camila ; Araujo, Eloa Moura ; dos Santos-Araujo, Sabrina Novaes ; Friol Boim, Alexys Giorgia ; Barbosa, Rommel Melgaco ; Ferracciu Alleoni, Luis Reynaldo

• Tipo de documento: Artigo Científico
• Fonte: CIENTIA AGRICOL; v. 79, n. 1, p. 15-pg., 2022-01-01.

Resumo

Lettuce (Lactuca sativa) is the main leafy vegetable produced in Brazil. Since its production is widespread all over the country, lettuce traceability and quality assurance is hampered. In this study, we propose a new method to identify the geographical origin of Brazilian lettuce. The method uses a powerful data mining technique called support vector machines (SVM) applied to elemental composition and soil properties of samples analyzed. We investigated lettuce produced in Sao Paulo and Pernambuco, two states in the southeastern and northeastern regions in Brazil, respectively. We investigated efficiency of the SVM model by comparing its results with those achieved by traditional linear discriminant analysis (LDA). The SVM models outperformed the LDA models in the two scenarios investigated, achieving an average of 98 % prediction accuracy to discriminate lettuce from both states. A feature evaluation formula, called F-score, was used to measure the discriminative power of the variables analyzed. The soil exchangeable cation capacity, soil contents of low crystalized Al and Zn content in lettuce samples were the most relevant components for differentiation. Our results reinforce the potential of data mining and machine learning techniques to support traceability strategies and authentication of leafy vegetables. (AU)

• Processo FAPESP: 12/03682-2 - Transferência solo-planta de metais pesados e avaliação de risco à saúde humana em áreas olerícolas do estado de São Paulo
• Beneficiário: Sabrina Novaes dos Santos-Araujo
• Modalidade de apoio: Bolsas no Brasil - Doutorado
• Processo FAPESP: 15/19332-9 - Bioacessibilidade oral e respiratória de elementos potencialmente tóxicos no solo e em sedimentos urbanos
• Beneficiário: Alexys Giorgia Friol Boim
• Modalidade de apoio: Bolsas no Brasil - Doutorado
• Processo FAPESP: 15/25416-0 - Bioconcentração e cinética de dessorção de elementos potencialmente tóxicos em solos cultivados com hortaliças nos sistemas orgânico e convencional
• Beneficiário: Eloá Moura Araújo
• Modalidade de apoio: Bolsas no Brasil - Doutorado